Owned
Every Collection has accountable owners and a clear business purpose.
Connect sources, organize approved content in Collections, assign permissions and give each AI Employee only the knowledge required for its role.
Knowledge architecture
Knowledge principles
Every Collection has accountable owners and a clear business purpose.
Content is reviewed before it becomes available to an AI Employee.
Collections group knowledge by team, responsibility and use case.
Workspace, role and Collection permissions define who can access what.
Files and connected systems can contribute without becoming globally visible.
Versions, updates and retired content remain part of the governance lifecycle.
Knowledge Journey
Knowledge is not one shared folder. It moves through ownership, approval, organization and permission boundaries before an AI Employee can use it.
Files, connected systems and approved business content enter the platform.
Owners verify relevance, version and access before publication.
Knowledge is organized by purpose, team and permission boundary.
Only assigned AI Employees can use the approved Collection.
People receive a grounded response from authorized company knowledge.
A governed workflow can continue the task when an action is required.
Collections
Selected Collection
Policies, onboarding material, benefits and approved people processes.
HR team and approved managers
HR Employee
Owners control publication, version changes and retirement.
Start with one Collection and one AI Employee, then expand the same governed model across teams and workflows.